Artificial Intelligence Software Engineer

18 hours ago


Davangere, Karnataka, India beBeeArtificialIntelligence Full time ₹ 15,00,000 - ₹ 25,00,000
Artificial Intelligence Software Engineer

We're seeking a seasoned Artificial Intelligence software engineer to join our core team of innovators building the next generation of machine learning platform & services. As an integral part of our group, you will be responsible for developing training and deployment pipelines for machine learning, implementing model compression algorithms, and productionizing machine learning research solving challenging business problems.

Main Responsibilities:

  • Design and develop Generative AI models using techniques like RAG, transformers, and other relevant approaches.
  • Fine-tune pre-trained LLMs for specific tasks and domains.
  • Conduct in-depth research on new techniques for improving the performance and capabilities of generative AI models.
  • Apply software engineering rigor and best practices to machine learning/Generative AI pipelines.
  • Evaluate and analyze the performance of ML/generative AI models.
  • Stay up-to-date on the latest advancements in generative AI research.
  • Facilitate the development and deployment of proof-of-concept Generative AI systems.

Requirements:

  • Bachelor's/Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 3-5 years of experience in generative AI or related fields.
  • Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring their performance.
  • Strong programming skills in Python.
  • Familiarity with RAG and other techniques for building generative models.
  • Extensive experience with Git, Docker, and a good understanding of Linux for managing servers.
  • Experience with cloud-based ecosystems, especially AWS ML/GenAI services.
  • Exposure to ML/GenAI frameworks and tools.
  • Excellent communication and collaboration skills.
  • Ability to work independently and in a team-oriented environment.
  • Methodical and meticulous towards work and planning.


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